Platform Engineer

Role : Sr. Platform Engineer

Duration : Long Team

Location : Hybrid working is needed -3 days office in Seattle-WA

Client : Seattle based Client

Required :

• Adobe Integration experience
• Data dog
• New relic
• Kubernetes Administration – AKS
• Hands on with Setting up Kubernetes clusters
• Kubernetes clusters for containerized applications.
• Scripting – PowerShell / Python
• Very strong with Terraform / setting up terraform
• AI / ML platforms.

Note – This is a platform engineer role and not SRE or devops role.

Role of platform engineer is different from SRE and Devops -

Platform Engineer

Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability.

Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources.

Implement and manage Kubernetes clusters for containerized applications.

Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments.

Leverage scripting languages (e.g Python) to automate routine tasks and streamline workflows.

Implement continuous integration and continuous deployment (CI / CD) pipelines for efficient software delivery.

Ensure seamless integration of infrastructure components with CI / CD pipelines.

Design, deploy, and maintain scalable and reliable infrastructure for AI / ML platforms.

Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI / ML applications.

Ensure containerized applications are secure, scalable, and easily deployable.

Enable seamless integration of AI / ML models into the platform, ensuring data pipelines are efficient and reliable.

Establish monitoring and alerting systems to ensure the health and performance of AI / ML platforms.

Implement security best practices for AI / ML platforms, ensuring data privacy and compliance with industry standards